Unified platform with API and UI for managing MCP environments, emphasizing modularity, test-driven development, and Docker SDK roadmap to streamline operations.

Bitbucket integration for the Model Context Protocol.

GitHub API integration offering search, details, contents, and issue management with streamlined automation and developer-friendly tooling.

Modular framework enabling context-aware orchestration with pluggable adapters, optimized routing, and policy enforcement to differentiate it from other implementations.

Next.js sample with Vercel adapter, SSE transport, Redis streaming, and Fluid compute optimization for scalable context handling.

A Python-based demonstration of context handling with clear tooling interactions and extensible patterns.

End-to-end deployment with AI Foundry integration and Azure APIM, featuring OpenAPI-driven endpoints, containerized orchestration, and comprehensive monitoring.

Lightweight PoC in C# enabling model context sharing, orchestration, and cross-component hydration with pluggable backends.

TypeScript-based client template offering unified access to native file ops and MCP-backed tools with config-driven loading and easy server integration.

Repositorio de demostración para mostrar las capacidades del MCP (Model Context Protocol) de GitHub

Standardized MCP for GitHub API interactions with structured actions, context management, and safe workflows.

Bulletproof RAG agent with Context7 MCP integration, precise grounding, and a polished terminal UI, built for scalable developer workflows and reliable documentation retrieval.

Comprehensive Opsgenie alert management with multi-transport support, notes, logs, and custom details, built on the MCP SDK.

A simple workshop which aims to explore usecases of model context protocol (MCP)

Claude-powered PR automation with AI-generated templates, CI/CD insights, and Slack updates for streamlined collaboration

Comprehensive development and testing toolkit for MCMAP, enabling inspection, boilerplate generation, testing, and smooth deployments.

Docker-first integration enabling gas-free AI interactions with Stability via robust tooling and SDK.

AI-powered browser automation with Playwright, real-time interaction, and Azure DevOps integration for streamlined, session-based end-to-end testing.

Starter collection demonstrating context transfer, memory management, and prompt coherence using the Model Context Protocol.

A repository demonstrating the power of Model Context Protocol (MCP)

Context-driven automation with filesystem-backed actions, reusable templates, and practical examples to streamline agent interactions and data workflows.

Python-based MCP server toolkit for OpenSearch focused on stdio-driven context exchange and lightweight extensibility.

Secure, standardized GitHub access enabling real-time repo ops and AI-driven automation across issues, PRs, and code search.

Centralized management for MCP services with profile-based access, YAML-defined registry, API key handling, health checks, and multi-tool configuration.